AIMC Topic: Limit of Detection

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A neural network-shaped composite of α-MnO with N-doped graphene for electrocatalytic reduction of hydrogen peroxide in human urine samples.

The Analyst
A neural network-shaped composite fusing α-MnO and nitrogen-doped graphene (N@Gr/α-MnO) was synthesized a hydrothermal method. The resulting composite demonstrates enhanced electrocatalytic activity for hydrogen peroxide (HO) compared with each sing...

Single-atom aptamer anchoring enables light-addressable multiplexed biosensing for early detection of pancreatic cancer.

Biosensors & bioelectronics
Pancreatic cancer remains one of the deadliest malignancies due to its silent progression and lack of early diagnostic tools. Here, we report a light-addressable photoelectrochemical (LAMT-PEC) biosensing system featuring single-atom Au-TiO photoelec...

Collaborative Internal Cavity Effect and Interfacial Modulation Mechanism for Boosting Deep Learning-Powered Immunochromatographic Pathogen Detection.

Analytical chemistry
Nanoenabled immunochromatographic assay (ICA) emerges as a powerful tool for pathogen diagnosis, yet current nanotechnologies are still constrained by inadequate light-matter interaction efficiency, sluggish nanomaterial flow dynamics, and inefficien...

Exploration of the fluorine-fluorine interaction mechanism in fluoroquinolone antibiotics recognition and ciprofloxacin detection on the basis of fluorine-doped carbon quantum dots and machine learning.

Food chemistry
The uncontrolled use of antibiotics poses a significant threat to human health and ecosystems. Accurate differentiation and trace detection of fluoroquinolone antibiotics (FQs) in foods are imperative. Fluorine-doped carbon quantum dots chelated with...

Dual-Mode SERS Lateral Flow Aptamer Assay with Machine Learning-Driven Highly Sensitive Interferon-γ Detection.

ACS synthetic biology
Interferon-γ (IFN-γ), a key pro-inflammatory cytokine, is widely recognized as a critical biomarker for diagnosing and monitoring various immune-related conditions. However, its typically low concentrations in biological fluids─at the picogram-per-mi...

Machine learning-assisted SERS-based dual-aptamer biosensor for ultrasensitive clinical screening of breast cancer.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Breast cancer remains a global health challenge, with an increasing number of cases necessitating innovative approaches to streamline patient management prior to treatment. In this study, we present a comprehensive aptamer-involved surface-enhanced R...

Dual-Channel Catalytic Immunochromatography Empowered by Machine Learning: Ultrasensitive Detection of O157:H7 via Magnetic CoFeO@HRP Nanocomposites.

Analytical chemistry
Traditional immunochromatographic test strips face significant limitations in detecting trace levels of O157:H7 due to insufficient sensitivity and reliability. To address this challenge, we developed a novel "three-In-One" nanoplatform based on mag...

Detection of Polystyrene Microplastics up to the Single Nanoparticle Limit Using SERS and Advanced ANN Design (KANformer).

ACS sensors
Due to uncontrolled release, gradual accumulation, low degradation rate, and potential negative impact on human health, microplastics (MPs) pose a serious environmental and healthcare risk. Thus, the spread of MPs should be at least carefully monitor...

Machine learning-powered fluorescent sensor arrays for rapid detection of heavy metals and pesticides in complex environments.

Biosensors & bioelectronics
The co-contamination of multiple pollutants in complex environmental matrices poses a significant threat to ecosystems and public health, necessitating advanced detection methods. In this study, we developed a machine learning-powered chemical sensor...